Seagrass meadows are crucial blue-carbon habitats, and mapping their extent is a prerequisite for coastal management and carbon inventory. Optical satellite sensors cover large areas but cannot reach deep or turbid water, whereas side-scan sonar (SSS) images the seabed at high resolution and at any depth. Interpreting...
Hayat Rajani, Nuno Gracias, Rafael Garcia· 0 citations
Automated perception in side-scan sonar (SSS) imagery is severely hindered by physical acoustic artifacts, resulting in representations that inextricably mix intrinsic seabed reflectivity with transient viewing geometries. Existing self-supervised learning (SSL) frameworks rely on augmentations designed for natural ima...
Taqi Hamoda, Hayat Rajani, Nuno Gracias· 0 citations
Side-Scan Sonar (SSS) is a primary modality for large-scale underwater mapping, yet automated perception and cross-modal alignment are severely bottlenecked by acoustic complexities such as speckle noise, shadows, and extreme viewpoint dependencies. Traditional handcrafted descriptors and modern deep learning matchers...
Side-scan sonar (SSS) mosaicking plays a crucial role in large-scale seabed mapping but is challenged by complex nonlinear, spatially varying distortions due to diverse sonar acquisition conditions. Existing rigid or affine registration methods fail to model such complex deformations, whereas traditional nonrigid techn...
Can Lei, Nuno Gracias, Rafael Garcia et al.· IEEE Transactions on Geoscie...· 0 citations
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